The Emerging Geography of AI: Introducing the Top-Ranked AI Nations (TRAIN) Scorecard
As the Global AI race intensifies, we mapped emerging AI leadership across data, rules, capital, and innovation.
Check out the latest research insights, analyst spotlights, and news from Digital Planet.
The U.S. Congress missed an opportunity. Instead, it published a road map that fails to address the key challenges posed by new technologies
Tufts University researchers explore "small" AI's potential in Sub-Saharan Africa, where specialized models, trained on smaller datasets, can positively impact individual lives, like farmers in Kenya.
As AI advances, it confronts major trust issues due to concerns like disinformation, safety, ethical dilemmas, bias, and environmental impact. Addressing these challenges involves a unified strategy: training, empowering, and involving humans in AI oversight.
We are staring at an employment crisis, which could get worse. But with policy support that could change.
Regulatory panic could do more harm than good. Rather than poor risk management today, rules should anticipate the greater risks that lie ahead.
In 2023, AI's breakthrough led to Big Tech dominance. Regulators, aiming to protect, unintentionally fueled accelerationists' power, raising consolidation risks.
As competition intensifies in the global race for AI dominance, we mapped the emerging geography of AI leadership across four main drivers: data, rules, capital, and innovation.
AI power shifts globally impact prioritized applications, societal benefits, economic sectors, data for training algorithms, biases inclusion, and innovation versus safeguards balance. 25 nations compete for AI leadership.
In an exclusive interview with Business Insider Africa, representatives from Tufts Fletcher School, the Mastercard Center for Inclusive Growth, and Dalberg shared their perspectives on the critical challenges and opportunities facing Africa's youth in the realm of job creation
Fuel African labor markets: Embrace digital shifts, empower 'systems
orchestrators,' drive growth for 375M job seekers.
In this interview, Bhaskar Chakravorti discusses the importance and future of digital public infrastructure with Hindol Sengupta.
As the Global AI race intensifies, we mapped emerging AI leadership across data, rules, capital, and innovation.
Women remain under-represented in high-paying technical and decision-making roles in STEM professions – a scenario that exposes the Achilles’ heel of the entire technology industry.
The under-representation of women in high-paying STEM roles is a vexing issue that exposes a systemic inertia across the industry.
Despite a roaring economy, India is in the middle of an employment crisis: In a country with the world’s largest and youngest workforce, there are very few good jobs to be had.
With four months to go, can the party elevate a fresh new candidate who can take on Donald Trump?
The U.S. Congress missed an opportunity. Instead, it published a road map that fails to address the key challenges posed by new technologies
Tufts University researchers explore "small" AI's potential in Sub-Saharan Africa, where specialized models, trained on smaller datasets, can positively impact individual lives, like farmers in Kenya.
As AI advances, it confronts major trust issues due to concerns like disinformation, safety, ethical dilemmas, bias, and environmental impact. Addressing these challenges involves a unified strategy: training, empowering, and involving humans in AI oversight.
Bhaskar Chakravorti and Anirudh discuss AI's transformative role in India's future, emphasizing its impact on healthcare and agriculture while highlighting public-private collaboration and digital competitiveness.